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Dr.-Ing. Michael Johannes Barz

Organizational unit Interactive Machine Learning
Contact +49 681 85775 4819 (Saarbrücken)

Address (Saarbrücken) Gebäude D3 1Stuhlsatzenhausweg 366123 Saarbrücken

Publications

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Profile

  • TrustML

    Trustworthy Machine Learning

    This new research project aims to develop a methodological and technical framework that enables the end-to-end design, implementation and secure operation of ML-based systems. This will enable users…

  • NoIDLEChatGPT

    No-IDLE meets ChatGPT

    Das Projekt "No-IDLE meets ChatGPT" zielt darauf ab, die Mensch-Maschine-Interaktion bei der Aktualisierung von Deep-Learning-Modellen (DL) zu verbessern, indem die Mensch-Computer-Interaktion (HCI)…

    NoIDLEChatGPT
  • No-IDLE

    Interactive Deep Learning Enterprise

    In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision making along clinical pathways in the medical…

    No-IDLE
  • MASTER

    MASTER: Mixed reality ecosystem for teaching robotics in manufacturing

    Many industries are transitioning to Industry 4.0 production models by adopting robots in their processes. In parallel, Extended Reality (XR) technologies have reached sufficient maturity to enter the…

    MASTER
  • SciBot

    Data Science Chatbot: A text-based interface, that learns from experts to support experts

    The goal of this project is the development of efficient methods for analyzing and for learning to analyse the user behavior during interactions with an expert system. The considered scenario includes…

    SciBot
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